Consumer brands win on convenience, personalisation and knowing their numbers. Assystant builds e-commerce and subscription experiences, AI assistants that serve customers around the clock, and analytics that join store, marketing and CRM data into one view.
Retail and e-commerce experience you can rely on
We built a subscription-ready app and an AI chatbot that negotiates bulk pricing for Nutritionplanet’s supplement customers, a recipe app for MealsPad that uses a small language model to suggest meals based on real kitchen inventory, and unified WooCommerce and Google Analytics dashboards for Pupbox (pet care) and Pour Moi Skincare.
AI-native commerce, built around your customers
AI can recommend the right product, answer questions instantly and negotiate within the rules you set. We build assistants and recommendation features grounded in your catalogue and policies, with clear guardrails and a hand-off to your team when needed.
Our teams cover the full lifecycle: discovery with your stakeholders, UX and product design, web and mobile development, integration with the systems you already run, and ongoing support from Bangalore with working hours that overlap the USA, Europe, MENA and APAC.
Our services for retail and e-commerce
- E-commerce and subscription apps
- AI shopping assistants and chatbots
- Product recommendation features
- Mobile commerce apps
- Unified e-commerce and marketing analytics
- Looker Studio and BI dashboards
- Storefront, CRM and payment integrations
- Conversion and funnel tracking
Related case studies
Enabling Subscriptions and AI-Negotiated Bulk Orders
Assystant built a subscription-ready app and AI chatbot that negotiates bulk pricing for Nutritionplanet’s supplement customers.
Planning Meals Smarter with AI-Powered Recipe Suggestions
Assystant built MealsPad’s recipe app, using a small language model to suggest meals based on real kitchen inventory.
Unifying Ecommerce and Analytics Data for a Pet Care Brand
Assystant built a unified Looker Studio dashboard combining Pupbox’s WooCommerce and Google Analytics data.
Related guides
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What Does It Cost to Build Your Own GPT Solution?
What drives the cost of building a custom GPT or LLM solution – approach, data, integration, usage fees, security and maintenance – and how to keep it under control.
RAG vs Fine-Tuning: How to Ground LLMs in Your Company Data
RAG retrieves your documents at query time; fine-tuning retrains the model on your examples. Compare cost, accuracy, freshness and security, and learn when to combine both.
Grow your brand with smarter commerce
Talk to us about the customer experience or data problem you want to solve – we will help you scope it and plan a realistic roadmap.
Frequently asked questions
What retail and e-commerce work has Assystant done?
We built a subscription app and AI bulk-order negotiation chatbot for Nutritionplanet, an AI recipe app for MealsPad, and unified e-commerce analytics dashboards for Pupbox and Pour Moi Skincare.
Can an AI chatbot negotiate prices with our customers?
Yes, within limits you define. For Nutritionplanet we built a chatbot that negotiates bulk-order pricing for supplement customers inside the business rules set by the team.
Which e-commerce platforms do you work with?
We build custom storefronts and apps and integrate with platforms such as WooCommerce, plus analytics and reporting tools such as Google Analytics and Looker Studio.
Can you combine our store, marketing and CRM data?
Yes. We join e-commerce, analytics, advertising and CRM data into one dashboard so you can see which channels and products drive revenue.